Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1879
Authors: Bottero, A.* 
Cansi, Y.* 
Massinon, B.* 
Title: Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks
Issue Date: Sep-1994
Series/Report no.: 37/5
URI: http://hdl.handle.net/2122/1879
Keywords: neural networks
mini-array
automatic seismic processing
Subject Classification04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniques 
05. General::05.06. Methods::05.06.99. General or miscellaneous 
Abstract: We present a new method for automatic processing of mini-array records of regional events. It is based on a comprehensive analysis of the cross-correlation functions. This leads to a set of time-delays used to compute the azimuth and velocity of the travelling wave only in case of consisteney of the time-delay set. The second step takes into account the time-frequency representations of these wave parameters to identify each regional wave using a neural network. The resulting standard error on azimuth is 3° and the relative error on distance is less than 20%.
Appears in Collections:Annals of Geophysics

Files in This Item:
File Description SizeFormat 
09 bottero.pdf1.85 MBAdobe PDFView/Open
Show full item record

Page view(s)

81
Last Week
0
Last month
4
checked on Aug 15, 2018

Download(s)

74
checked on Aug 15, 2018

Google ScholarTM

Check